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MiSoC training course: An introduction to machine learning for causal analysis using observational data (postponed to Spring 2021)

This one-day workshop will

  • Introduce the basic principles of causal modelling (potential outcomes, graphs, causal effects) while emphasising the key role of design and assumptions in obtaining robust estimates.
  • Introduce the basic principles of machine learning and the use of machine learning methods to do causal inference (e.g. methods stemming from domain adaptation and propensity scores).
  • Show how to implement these techniques for causal analysis and interpret the results in illustrative examples.
MiSoC Workshop on Subjective Expectations

The goal of this workshop is to bring together researchers using subjective expectations in their work and to foster and stimulate the exchange of ideas. The workshop is the sixth in a series of workshops on Subjective Expectations. Previous workshops have been held at Université Laval in Québec city (2009 and 2011), the University of Essex (2014), New York Federal Reserve Bank (2016), and CESifo in Munich (2018). (Two half days, programme under preparation).

Introduction to Understanding Society

This course is aimed at new users of Understanding Society, as well as those who have so far only made use of simpler aspects of the data. It aims to guide the user through the complexities of using this data for cross-sectional and longitudinal analysis, and ensure that they can make effective use of the data for their own research projects.

The course is free to attend and includes lunch and refreshments.

ONLINE MiSoC training course: Introduction to Impact Evaluation

The day-long course online will introduce you to various empirical, quantitative methods that can be used to estimate the impact of a specific policy intervention. These methods can be referred to as “programme evaluation”, “impact assessment”, “causal estimation” or “impact evaluation”. The course assumes basic statistical concepts (mean, median, correlation, expected value, statistical significance and confidence intervals), and algebra is optional. It does not teach participants how to implement any of these methods using statistical software.

UKMOD training course

The course will take place online on Zoom over four half-days (from 9am to 1pm) on 12-15 October 2020. This course will help you understand: • how to access and download the UKMOD models, software and data • the basics of tax-benefit microsimulation • the logic and structure behind UKMOD • how to work with UKMOD: the policy rules, FRS micro-data and the EUROMOD software • how to use the EUROMOD tools (Statistics Presenter) for distributional analysis • the EUROMOD tax-benefit modelling language • how to access documentation and additional help sources You will also find out about more advanced topics such as: • how we have forecasted the policy years from 2021/22 to 2024/25 • how we have simulated the Covid-related labour market shocks to policy years 2020/21 to 2024/25.

Tributes to Dr Malcolm Brynin

The academic community pays tribute to our longest-serving member of staff, Dr Malcolm Brynin, Reader at ISER, and a leading expert on race and gender pay gaps and inequalities, who has died from cancer

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